Best Laptops for Deep Learning and Machine Learning in 2020

ASUS ROG Zephyrus S Ultra Slim Gaming Laptop – Best Overall

First off, the laptop features a gorgeous black design with elegant matte and pure aluminum coating, as well as glossy silver on the side. On booting up, the laptop reveals magenta dots and cutouts for hinges.

The interior is also sleek. The keyboard is RGB backlit and the touchpad has a slick digital pad and clickable buttons.

Although the pad is smooth and responsive, the keys are not comfortable enough. Your fingers might stumble on the low typing. However, they are still acceptable.

In terms of weight, the Zephyrus S has an average weight like most popular laptops – around 4.6lbs.

Now, turn to the performance.

ASUS ROG Zephyrus S has a 1080P panel which provides a remarkable display. We test the laptop with the game Shadow of the Tomb Raider, and guess what?

The images are vibrant, sounds are great, and the response time is as short as 3ms.

The SSD drive is 512GB capacity and the memory card is 16GB – not too powerful but still enough to copy a large number of data in a very short time.

Eluktronics Pro-X P650HP6-G VR Ready – Best Powerful

If it is not the money but the performance you care for, then Eluktronics provides another laptop for deep learning and machine learning.

It is Pro-X P650HP6-G VR Ready.

At a glance, this laptop adopts the basic-looking aluminum design like other Eluktronics laptops.

In other words, you can expect a quality-built construction as a whole, with traditional-designed exhaust vents, single USB port, and a power jack. You can bring it to the office, board meeting, or coffee shop for some deep learning.

So, what makes this laptop to be the best powerful device.

Firstly, the core Core i7-7700HQ 2.80 GHZ applies the hyper-threading technology to perform complex tasks on very high settings.

Moreover, this laptop uses 6GB GDDR5 VRAM and 512GB SSD, which are pretty fast and dedicated. Also, the panel is easily expandable.

There are even dual exhaust fans on two sides to cool the GPU and CPU. Hence, the laptop can run quietly and smoothly even for hours.

For machine learning, you expect a powerful GPU combined with a compact design to take the laptop on the go.

Can you?

Yes, there are several compact and powerful laptops on the market. However, they are expensive. As long as you can afford them, you can get many advanced features at hand. Take Gigabyte AERO 15-X9-RT5P, for example.

Let’s start with the design.

The laptop is crafted in a sleek aluminum case with the all-metal black deck is all metal black while the keyboard features much-needed color. The top and side bezels are thin so that the overall weight is not too bulky, only 4.7lbs.

The Intel Core i9-8950HK CPU and 32GB of RAM support a strong efficiency. You can browse websites and edit videos and photos with ease.

The amazing 4K Pantone-calibrated display and artificial intelligence are the most outstanding features. It makes the screen beautiful and scrip. In addition, the laptop comes with a gimmick of AI programs, Professional+, and Gaming+ program.

Pros:

Slim design

Fast-processing storage

Powerful GPU

Excellent 4K colorful display

Cons:

Pricey tag

Heated operation

Summary of specifications:

Gigabyte AERO 15-X9-RT5P

Processor

4.1 GHz Intel Mobile CPU

RAM

Samsung 32 GB DDR4-2666

Storage

Intel 760P 1 TB M.2 PCIe-NVMe SSD

Graphics

Nvidia GeForce RTX 2070 Max-Q (8GB GDDR6)

Display

15.6-inch 4K (3840 x 2160)

Operating System

Genuine Windows 10 Pro

Batteries

94 Wh

Weight

4.7lbs

Omen by HP 2019 15-Inch Gaming Laptop – Best for Deep Learning

Omen by HP 2019 15-Inch Gaming Laptop is the last on the list, which is powerful enough for deep learning.

This device adopts the outstanding characteristics of the HP laptops in terms of design. To be specific, it opts for understated looks by toning down flashy elements, angled edges, and metallic construction.

This minimal design makes sense to attract even hardcore gamers.

We also want to praise the full HD display. Not only is it light on eyes, but the screen features wide angles and excellent brightness.

Many consumers have confirmed that the display is sharp and detailed so that they can enjoy high-end games to the high refresh rates and smooth graphics. What’s more, the size and space of the keyboard are surprisingly good.

The performance is also great to perform aggressive multitasking and regular use. This is thanks to the strong Intel Core i7- 9750h and 1TB HDD and 512GB SSD.

The batteries are not very impressive – only for 5 hours on a full charge.

Pros:

Affordable price

Excellent gaming performance

Vivid display ability

Fast HDD and SSD

Cons:

Mushy keyboard

Low battery capacity

Heavy construction

Summary of specifications:

Omen by HP 2019 15-Inch Gaming Laptop

Processor

4.1 GHz Core i7 Family

RAM

16 GB SDRAM

Storage

1 TB 7200 rpm SATA SSD

Graphics

Intel UHD 630NVIDIA GeForce RTX 2070

Display

15.6-inch, 1920 x 1080 px resolution

Operating System

Windows 10 Home (64bit)

Batteries

69Wh, 200W power adapter

Weight

5.34lbs

FAQs

Is 16gb RAM enough for machine learning?

“Not all the time!” we might answer.

While most laptops now come in an 8GB RAM, 16GB one seems promising and affordable. However, you might still get terrible slowdowns after a while.

So, how much is sufficient?

For the best performance, we would recommend the 32GB RAMs at a minimum. You will detect a significant difference – the laptop does not like a toy, but a real machine for learning.

64GB RAMs, of course, are better. However, they are rarely available on single laptops.

How important is the GPU for a machine learning laptop?

As we mentioned above, a GPU is a suitable workhorse for machine-learning purposes, rather than the standard CPU.

Here we explain the roles of GPU in more detail.

Accordingly, GPU is a programmable processor located in the chipset of the motherboard to perform display functions. It renders animations, images, and videos on the screen.

Is SSD storage crucial for machine learning laptop use?

First of all, the SSD handles data by flash memory chips so that there are no moving parts. It also frees up the drive on your laptop.

Secondly, SSD drive opens files faster, which is helpful when you open extensive files frequently.

The minimum SSD is around 512GB and 7200 RPM. The more, the merrier.

How much RAM are the minimum criteria for a machine learning laptop?

As we mentioned, the recommended RAM for machine learning is at least 32GB. Get something larger according to your dataset.

However, the price of 32GB is somewhat much more expensive than the standard 8GB or 16GB.

You need to consider carefully.

Is the screen size ideal for deep learning and machine learning, 13 inches or 15 inches?

Laptops for deep learning and machine learning should be compact and versatile to run demanding applications.

If you are wonder between the 13-inch screen and a 15-inch screen, then we recommend the earlier. These measurements provide a good balance between usability and portability.

15-inch laptops are more popular. However, you will not want to carry them around often as they might weight from 4 to 5.5lbs.

Conclusion

The best laptops for deep learning and machine learning are all available at your fingertips. Give each device a try and careful consideration so that you can pick the most suitable laptop in terms of budget and quality.

Before you go, we want to cover some key points for you to take away: powerful GPU, fast SSD, lightweight, and compact design.

Also, if you find this review is helpful, please like and share it with other consumers.

Edward Tashihira is an 25 year old blogger. He is a Software Engineer by profession and blogger by passion. He writes on various topics like Technology, Blogging, Web designing and SEO. He runs various other blogs under various niches.